Langdon, W;
Harman, M;
(2014)
Genetically Improved CUDA C++ Software.
In: Heywood, M and Nicolau, M and Krawiec, K, (eds.)
Genetic Programming: 17th European Conference, EuroGP 2014, Granada, Spain, April 23-25, 2014, Revised Selected Papers.
(pp. pp. 87-99).
Springer Berlin Heidelberg: Berlin, Germany.
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Abstract
Genetic Programming (GP) may dramatically increase the performance of software written by domain experts. GP and autotuning are used to optimise and refactor legacy GPGPU C code for modern graphics hardware and software. Speed ups of more than six times on the newest GPU hardware are reported compared to the original code on the same hardware.
| Type: | Proceedings paper |
|---|---|
| Title: | Genetically Improved CUDA C++ Software |
| Event: | EuroGP 2014: 17th European Conference on Genetic Programming |
| Location: | Granada, Spain |
| Dates: | 2014-04-23 - 2014-04-25 |
| ISBN-13: | 9783662443026 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1007/978-3-662-44303-3_8 |
| Publisher version: | http://dx.doi.org/10.1007/978-3-662-44303-3_8 |
| Language: | English |
| Additional information: | This is the authors' accepted version of this article. The final publication is available at link.springer.com/10.1007/978-3-662-44303-3_8. |
| Keywords: | Genetic algorithms, genetic programming, evolutionary programming, software engineering |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1419637 |
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